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Proceedings Papers

Fault Diagnosis Based on KPCA and RUSboost for Nuclear Power Plants

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Yiqing Wang, Peiwei Sun
Proc. ASME. ICONE29, Volume 15: Student Paper Competition, V015T16A082, August 8–12, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICONE29-92163
https://doi.org/10.1115/ICONE29-92163
... shows that RUSboost is an excellent technique to cope with imbalanced data in fault diagnose for nuclear power plants. fault diagnosis imbalance sample nonlinearity under-sampling technique Proceedings of the 2022 29th International Conference on Nuclear Engineering ICONE29 August 8-12, 2022...
View Paper titled, Fault Diagnosis Based on KPCA and RUSboost for Nuclear Power Plants
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Topics: Fault diagnosis, Nuclear power stations, Algorithms, Sensors, Nonlinear systems, Nuclear reactors, Pressurized water reactors, Process monitoring, Support vector machines